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mac系统下如何安装python的numpy

mac系统下如何安装python的numpy

在数学建模方面numpy模块有很大的用处，同时安装也十分苦难
（我的电脑信息是mac系统，python3）

打开终端，输入

pip3 install numpy scipy matplotlib -i https://pypi.tuna.tsinghua.edu.cn/simple

Mac 系统的 Homebrew 不包含 NumPy 或其他一些科学计算包，所以可以采用以上方式进行安装

【摘取自runoob网站】

试过很多博主的但是都会报错，这个就不会，所以拿来分享一下

得到如下结果：

Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting numpy Downloading
https://pypi.tuna.tsinghua.edu.cn/packages/18/65/b7bc93a0096349f827ecb56f7b98370e704c8a1883c552505d8cf478f741/numpy-1.20.0-cp39-cp39-macosx_10_9_x86_64.whl
(16.1 MB)
|████████████████████████████████| 16.1 MB 620 kB/s Collecting scipy Downloading
https://pypi.tuna.tsinghua.edu.cn/packages/9b/2b/6e1063b742ca49bc0f4fa19107e181a13b08f5118ceed4d5827d9df616f5/scipy-1.6.0-cp39-cp39-macosx_10_9_x86_64.whl
(30.9 MB)
|████████████████████████████████| 30.9 MB 392 kB/s Collecting matplotlib Downloading
https://pypi.tuna.tsinghua.edu.cn/packages/db/ff/404aad32f8fc9bd6173454a094175478d325b522e07835c73de2652d7801/matplotlib-3.3.4-cp39-cp39-macosx_10_9_x86_64.whl
(8.5 MB)
|████████████████████████████████| 8.5 MB 713 kB/s Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 Downloading
https://pypi.tuna.tsinghua.edu.cn/packages/8a/bb/488841f56197b13700afd5658fc279a2025a39e22449b7cf29864669b15d/pyparsing-2.4.7-py2.py3-none-any.whl
(67 kB)
|████████████████████████████████| 67 kB 1.0 MB/s Collecting cycler>=0.10 Downloading
https://pypi.tuna.tsinghua.edu.cn/packages/f7/d2/e07d3ebb2bd7af696440ce7e754c59dd546ffe1bbe732c8ab68b9c834e61/cycler-0.10.0-py2.py3-none-any.whl
(6.5 kB) Collecting pillow>=6.2.0 Downloading
https://pypi.tuna.tsinghua.edu.cn/packages/47/47/f420e8d631c2339332d1459f01662fff4f5a7b81f69ef21f18f8906235cc/Pillow-8.1.0-cp39-cp39-macosx_10_10_x86_64.whl
(2.2 MB)
|████████████████████████████████| 2.2 MB 732 kB/s Collecting python-dateutil>=2.1 Downloading
https://pypi.tuna.tsinghua.edu.cn/packages/d4/70/d60450c3dd48ef87586924207ae8907090de0b306af2bce5d134d78615cb/python_dateutil-2.8.1-py2.py3-none-any.whl
(227 kB)
|████████████████████████████████| 227 kB 3.3 MB/s Collecting kiwisolver>=1.0.1 Downloading
https://pypi.tuna.tsinghua.edu.cn/packages/44/33/68de462c07aa262c711a17ee169279cdd332fefdbf78cc9b3ff320615ebe/kiwisolver-1.3.1-cp39-cp39-macosx_10_9_x86_64.whl
(61 kB)
|████████████████████████████████| 61 kB 348 kB/s Collecting six Downloading
https://pypi.tuna.tsinghua.edu.cn/packages/ee/ff/48bde5c0f013094d729fe4b0316ba2a24774b3ff1c52d924a8a4cb04078a/six-1.15.0-py2.py3-none-any.whl
(10 kB) Installing collected packages: six, python-dateutil,
pyparsing, pillow, numpy, kiwisolver, cycler, scipy, matplotlib
Successfully installed cycler-0.10.0 kiwisolver-1.3.1 matplotlib-3.3.4
numpy-1.20.0 pillow-8.1.0 pyparsing-2.4.7 python-dateutil-2.8.1
scipy-1.6.0 six-1.15.0

之后你可以进行验证

>>>from numpy import *
>>> eye(4)
array([[1., 0., 0., 0.],

 1. List item

       [0., 1., 0., 0.],
       [0., 0., 1., 0.],
       [0., 0., 0., 1.]])
       #from numpy import * 为导入 numpy 库。eye(4) 生成对角矩阵。

【同样摘取自runoob网站】

希望可以帮助到你 ^_